Analysis of selected parameters of partial 3D models obtained by gradual reduction of the number of photo frames
Abstract views: 33
/ 
PDF downloads: 28
Keywords:
Pix4Dmapper, Photogrammetry, 3D models, partial 3D models, OPPO Reno 5zAbstract
Photographs of the object are used to create 3D models using photogrammetry. However, it is not
always possible - especially for time or technical reasons - to obtain sufficient photographs. It is even often
only possible to obtain photographs for the creation of partial 3D models. In such cases, the use of video
seems to be a suitable solution. Instead of lengthy photography, we create a short video and get the
appropriate number of photo frames by separating them from the video. In our paper, we focus on the
description of the characterization parameters of the 3D models, created by gradually reducing the photo
frames that we obtained from the video. The parameters describing the quality of a 3D model are generally
accepted and known. We have chosen a few basic parameters that we observe, such as The median of
keypoints per image, Number of 2D Keypoint Observations for Bundle Block Adjustment and so on.
Downloads
References
Makhloufi, Lilia. (2024). Introduction: Tangible and Intangible Heritage. DOI: 10.11647/obp.0388.00.
Takáč, O.; Czakóová, K. 2023. Creation of 3D Models of Real Objects Using Close-Range Photogrammetry in Education. In: AD ALTA: journal of interdisciplinary research, 13(2), pp 346–351. Hradec Králové: Magnanimitas akademické sdružení. (December, 2023).ISSN: 1804-7890. – ISSN (online): 2464-6733. DOI: https://doi.org/10.33543/j.1302.346351.
Pix4Dmapper. 2024. Quality report specifications - PIX4Dmapper. [online: 06.05.2024]. https://support.pix4d.com/hc/en-us/articles/202558679-Quality-report-specifications-PIX4Dmapper#label02
Pix4Dmapper. (2024). Quality Report Help - PIX4Dmapper. https://support.pix4d.com/hc/en-us/articles/202558689-Quality-Report-Help-PIX4Dmapper#label101.
Takáč, O.; Végh, L. (2021) CREATION OF 3D MODELS OF REAL OBJECTS IN THE TEACHING OF COMPUTER SCIENCE, ICERI2021 Proceedings, pp. 5723-5727.
Takáč, O.; Végh, L. (2021) USAGE OF UAVS IN THE PROTECTION OF CULTURAL HERITAGE IN THE TEACHING OF COMPUTER SCIENCE, INTED2021 Proceedings, pp. 9987-9992.
A. Yordanov, D. Filipov, S. Filipova, T. Atanasova. (2023, December). COMBINED CLOSE RANGE PHOTOGRAMMETRY AND REMOTE SENSING FOR PHOTOVOLTAIC PARKS EFFICIENCY ANALYSIS. In The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVIII-1/W2-2023 ISPRS Geospatial Week 2023, 2–7 September 2023, Cairo, Egypt.
J. Udvaros, Á. Gubán and M. Gubán. (2019) Methods of artificial intelligence in economical and logistical education. eLearning and Software for Education Conference, pp. 414–421. http://dx.doi.org/10.12753/2066-026x-19-055
J. Udvaros, N. Forman, L. Szabó, K. Szabó (2022) THE IMPORTANCE OF TEACHING DRONES IN LOGISTICS, ICERI2022 Proceedings, pp. 3286-3290. doi: 10.21125/iceri.2022.0811
M. Higueras, A. Isabel Calero, F. José Collado-Montero. (2021) DIGITAL 3D MODELING USING PHOTOGRAMMETRY AND 3D PRINTING APPLIED TO THE RESTORATION OF A HISPANO-ROMAN ARCHITECTURAL ORNAMENT. In Digital Applications in Archaeology and Cultural Heritage. Volume 20, 2021, e00179, ISSN 2212-0548, https://doi.org/10.1016/j.daach.2021.e00179.
C. Scaggion, S. Castelli, D. Usai, G. Artioli. (2022) 3D DIGITAL DENTAL MODELS’ ACCURACY FOR ANTHROPOLOGICAL STUDY: COMPARING CLOSE-RANGE PHOTOGRAMMETRY TO Μ-CT SCANNING. In Digital Applications in Archaeology and Cultural Heritage, Volume 27, 2022, e00245, ISSN 2212-0548, https://doi.org/10.1016/j.daach.2022.e00245.
